A Worst-Case Robust Combination Method of Beam-Forming and Orthogonal Space–Time Block Coding

In this paper, a new robust multi-input multi-output system is proposed in a perturbed wireless channel which is to model imperfect channel information at the source side when beam-forming and orthogonal space–time block coding is utilized. The channel perturbation is bounded by a predefined variation based on worst-case robust design. Beam-forming is used to improve the performance of the system expressed by the upper bound of pairwise error probability of symbols. In this paper firstly, the maximum value of pairwise error probability is obtained in a closed form when channel perturbation is kept below a threshold. Then the beam-forming matrix is designed to minimize the pairwise error probability subject to a predefined maximum transmitting power. This approach provides near optimal results due to using the upper bound of pairwise error probability. It shows good performance based on the symbol error rate criterion compared with other existing methods of the multiple input multiple output system.     

Multi-User Relaying of High-Rate Space–Time Code in Cooperative Networks

In this paper, we propose high-rate space–time coding for cooperative wireless networks to reduce the overall delay incurred in relaying signals to multiple receivers. The relay structure is optimized in order to achieve maximum SNR at the receiver nodes. The proposed scheme provides a significant reduction in the delay required for the relaying and transmission of the signals to the multiple receivers with a minute loss in performance. We have also shown by simulation that this loss in the performance could be recovered by selecting more number of relays. We propose two relaying strategies for high-rate space–time codes, which are very useful in providing high data-rate in wireless cooperative networks.     

A Novel Sensor for Detecting the Vibration

The micro-cantilever beamwith a twin long period optic fiber grating sensitive to the strain and the vibration is designed to use as the sensor head. The micro--displacement of wavelength caused by strain or vibration is amplified in the system. Special cladding material is used to eliminate the interference brougth about the temperature. The designing structure is enabled to detect the micro--information.     

Design of Novel Dual Input DC–DC Converter for Energy Harvesting System in IoT Sensor Nodes

A new DC–DC converter capable of working with more than one source for harvesting energy from clean energy sources is proposed. Key features of this proposed converter are single inductor and reduced total number of components. In addition the converter has reduced stresses and power losses. Dual input and output modes, with its operation and steady-state analysis are discussed. Comparative study of the topologies given in literature with a proposed topology for parameters considered like the number of components and voltage gain is presented. Compatibility of the proposed converter is proved with reduced losses using loss distribution analysis of the converter and it is more reliable for energy system in telecom applications, which is validated using reliability analysis, is also highlighted. Finally, to substantiate the working of the non isolated DC–DC converter considered the test results are presented.

     

Design of a Silicon Beam Resonator for a Novel Gas Sensor

研究了一种基于硅悬臂梁谐振器的新型气体传感器.该传感器在敏感环境中,可同时获得敏感膜电导率和质量变化,测量被测气体分子的荷质比,具有高灵敏度和高选择性.根据这一原理,针对气体传感器的需求,设计了硅悬臂梁谐振器化学传感器结构,进行了仿真优化,并采用MEMS表面牺牲层工艺制备该器件,激光频率仪测量验证了该微型谐振梁的谐振频率.     

A Novel Hybrid Optimization for Cluster‐Based Routing Protocol in Information-Centric Wireless Sensor Networks for IoT Based Mobile Edge Computing

Wireless Personal Communications - In present days, the utilization of mobile edge computing (MEC) and Internet of Things (IoT) in mobile networks offers a bottleneck in the evolving technological...     

A Novel Algorithm Supporting QoS for Traffic Engineering in MPLS Networks

1　Introduction　AstheQoSrequirementofserviceclasseshaschangeddramaticallyduringthepastyears,thesingle classbesteffortarchitecturecurrentlyusedintheinternetcan tmeettheincreasingneedofdifferenttrafficswithdiffer entQoSrequirements .Asaresult ,themanagementandcontrolofTrafficEngineering (TE)becomesmoreimportantinhigh speednetworksforserviceproviders.AccordingtoInternetEngineeringTaskForce ,TEisanaspectofnetworkengineeringconcernedwiththeissueofnetworkperformanceoptimization[1] .Thenewlye …     

A Tracking-Based Target Locating Algorithm in Wireless Sensor Networks

1　IntroductionAwirelesssensornetworkisusuallycomposedofhundredsorthousandsofsensorsequippedwithcomputation ,sensingandcommunicationdevices,whicharecoordinatedinadistributedmodeinordertomonitoracertaingeographicalregionandcollectinformationontheirsurroundings[1 ] .Thecollecteddataisthenusedtoanswervariousqueries.RecentadvancesinMEMS ,wirelesscommunications,anddigitalelectronicshavemadepossiblethecheapandfastdeploymentofsensornetworks[2 ] .Suchadhoc,self organizingsensornetworksarereceivingin…     

A Decorrelating-MRC Based Space–Time Multiuser Receiver for Time-Hopping UWB System

In this paper, we propose a two-stage linear multiuser detector (LMD) for ultra wideband (UWB) multiple single-input multi-output (M-SIMO) system and multipath fading environment. Time-hopping (TH) and antipodal pulse amplitude modulation (PAM) are employed for the multiple access system. The decorrelating detector is first employed at the front end of each receive antenna to eliminate the multi-user interference (MUI), then a set of maximum-ratio-combiners (MRC) are proceeded to maximize the signal-to-noise power ratio (SNR) for each user. Since the channel information is crucial for the Decorrelating-MRC (D-MRC) receiver, we develop a subspace-based blind M-SIMO channel estimation method. The effect of channel estimation error on system performance is extensively evaluated. It is also verified from the analytical and numerical results that by exploiting both spatial and temporal diversities, the D-MRC receiver dramatically improves system performance even without additional coding. Moreover, we demonstrate that both the D-MRC receiver and subspace-based blind channel estimator are computationally feasible and near-far resistant.

A Novel Adaptive Optimized Fast Blind Channel Estimation for Cyclic Prefix Assisted Space–Time Block Coded MIMO-OFDM Systems

In this paper an adaptive optimized fast blind channel estimation using cyclic prefix supported with Space Time Block Coded Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (STBC-MIMO-OFDM) system is presented. The main aspire of our technique is to support multiple users at the same time over same frequency band based on the Multi-Carrier Code-Division Multiple Access (MC-CDMA) approach. High complexity and low convergence is the main obstacle in earlier blind channel estimation techniques. Modified flower pollination algorithm is implemented to overcome this problem. The MC-CDMA approach is utilized to implement the blind channel estimation. The proposed MC-CDMA is used to reduce the error rate included in the Blind Channel Estimation. As a part of wireless communications, time block coding technique is utilized to transmit several copies of information across the number of antennas. To develop the consistency of data transfer different received data is used and then MFPA results in lower fuel cost compared to FPA. MFPA produces better results compared with previous methods.

     

Performance Bound for LDPC Coded Unitary Space–Time Modulation

This paper is concerned with the bit error probability (BEP) of coded unitary space–time modulation systems based on finite-length low density parity check (LDPC) codes. The union bound on the BEP of the maximum likelihood (ML) decoding is derived for any code rate, unitary space–time constellation and mapping. The tightness of the bound is checked with simulation results of the ordered statistic decoding (OSD). Numerical and simulation results show that the union bound is also close to the error performance of the sum–product (SP) decoding at low BEP levels when Gray mapping is employed. The derived bound is useful to benchmark the error performance of finite-length coded unitary space–time modulation systems, especially for those that employ short-to-medium length LDPC codes.

Efficient Decoding for Generalized Quasi-Orthogonal Space–Time Block Codes

Space–time coding can achieve transmit diversity and power gain over spatially uncoded systems without sacrificing bandwidth. There are various approaches in coding structures, including space–time block codes. A class of space–time block codes namely quasi-orthogonal space–time block codes can achieve the full rate, but the conventional decoders of these codes experience interference terms resulting from neighboring signals during signal detection. The presence of the interference terms causes an increase in the decoder complexity and a decrease in the performance gain. In this article, we propose a modification to the conventional coding/decoding scheme that will improve performance, reduce decoding complexity, and improve robustness against channel estimation errors as well.     

Distributed and Energy Efficient Self-Organization for On–Off Wireless Sensor Networks

In this paper, we utilize clustering to achieve energy efficiency for the on–off wireless sensor network, whose member nodes alternate between active and inactive states. In the proposed Distributed and Energy Efficient Self Organization (DEESO) scheme, the head election is adjusted adaptively to the remaining battery levels of local active nodes, which is a completely distributed approach compared to LEACH that relying on other routing schemes to access global information. Furthermore, we apply the Adaptive Channel Assignment (ACA) to address the on-off topology changes. Simulation results show that DEESO delivers 184% amount of data to the base station as LEACH for the same amount of energy consumption and the effective network lifetime is extended by around 50%.     

A New Semiblind Scheme Based on Second and Fourth Order Statistics for Decoding of Space–Time Data in Time Selective MIMO Channels

In this paper we propose a novel semiblind scheme based on second and fourth order statistics of Space–Time data in time varying MIMO channels. This scheme combines a new blind estimator of frequency offsets and an iterative decoder. Space–Time Codes have a periodic property which is used to find a simple and efficient blind estimator of carrier offsets. The iterative decoder is a data aided decoder which provides the best estimates of channel, noise co-variance and S–T data in its category. As a result of this the new semiblind scheme performs very efficiently in time-selective channels and is able to reduce the training overhead required by the data-aided estimators to a large extent, and increase the effective throughput.

Simplified Semi-Blind Channel Estimation for Space–Time Coded MIMO-OFDM Systems

The combination of Space–Time Coded Multiple Input Multiple Output systems (STC-MIMO) with Orthogonal Frequency Division Multiplexing (OFDM) is recently being investigated as an effective means of providing high-speed data transmission over dispersive wireless channels. The strengths of the two techniques coalesce and render MIMO-OFDM systems robust to ISI and IBI. However, the decoding and demodulation of STC-OFDM needs reliable channel knowledge at the receiver, unless differential modulation techniques are used. Semi-blind methods for channel estimation are seen to provide the best trade-off in terms of bandwidth overhead, computational complexity and latency. The conventional Expectation-Maximization (EM) algorithm for semi-blind channel estimation improves a pilot-based estimate with a two step process; however, it is computationally complex to implement. In this paper, we propose a variant of the EM method, referred to as ML-EM, for semi-blind estimation of doubly dispersive channels in space–time coded MIMO-OFDM systems. Here, the conventional EM algorithm is coupled with the ML decoder for space time block codes (STBCs). The technique shows good performance, even in highly correlated antenna arrays, and is computationally simpler than conventional EM. The method incurs a training overhead of less than 1%, and performs close to exact CSI through iterative processing at the receiver.     

Block Diagonal Differential Space–Time–Frequency Codes for Four Transmit Antennas

For Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system with four transmit antennas, this paper presents a novel block diagonal differential space–time–frequency (DSTF) coded scheme with full diversity and rate one. It overcomes the rate loss of the traditional differential orthogonal space–time–frequency coded scheme for four transmit antennas. The coding and decoding method are described in detail. After analyzing the system error performance, this paper provides two measures to improve the system error performance. One measure is to design good codes which achieve large coding gain. Thus, linear constellation decimation (LCD) codes are imported. The optimal decimation factors are given in the Table 1 under different design parameters. Another measure is to select a good subcarrier grouping method. A grouping method is proposed that all groups have the same subcarrier spacing. By the derived rule of evaluating subcarrier grouping, the optimal subcarrier spacing is obtained by computer search under different channels. Simulation results are presented to illustrate the performance of block diagonal DSTF codes and the proposed subcarrier grouping method.

Space–Time/Space–Frequency/Space–Time–Frequency Block Coded MIMO-OFDM System with Equalizers in Quasi Static Mobile Radio Channels Using Higher Tap Order

In 4G broadband wireless communications, multiple transmit and receive antennas are used to form multiple input multiple output (MIMO) channels to increase the capacity (by a factor of the minimum number of transmit and receive antennas) and data rate. In this paper, the combination of MIMO technology and orthogonal frequency division multiplexing (OFDM) systems is analyzed for wideband transmission which mitigates the intersymbol interference and hence enhances system capacity. In MIMO-OFDM systems, the coding is done over space, time, and frequency domains to provide reliable and robust transmission in harsh wireless environment. Also, the performance of space time frequency (STF) coded MIMO-OFDM is analyzed with space time and space frequency coding as special cases. The maximum achievable diversity of STF coded MIMO-OFDM is analyzed and bit error rate performance improvement is verified by simulation results. Simulations are carried out in harsh wireless environment, whose effect is mitigated by using higher tap order channels. The complexity is resolved by employing sphere decoder at the receiver.     

TaraxOS： An Operation System for Wireless Sensor Networks

operation system （OS）, named TaraxOS for wireless sensor networks is proposed. The functions of the TaraxOS such as interrupt, memory management and scheduling mechanism are researched and implemented. After introducing the node＇s working flow, the performances of the TaraxOS are analyzed and some limitations of the scheduling mechanism are discussed. The obtained results show that the proposed TaraxOS has some desirable characteristics including small code capacity, low power consumption, quick response and robustness.     

Performance of Layered Steered Space–Time Codes in Wireless Systems

Layered Steered Space–Time Codes (LSSTC) is a recently proposed multiple-input multiple-output (MIMO) system that combines the benefits of vertical Bell Labs space–time (VBLAST) scheme, space–time block codes (STBC) and beamforming. In this paper, we derive the error performance and capacity of a single-user LSSTC system. The analysis is general enough to any layer ordering and modulation schemes used. In addition, the derived analysis is general for any LSSTC structure in which layers may have different number of antenna arrays and may be assigned power according to any power allocation. Furthermore, we analytically investigate the tradeoff between the main parameters of the LSSTC system, i.e., diversity, multiplexing and beamforming. Our results give recursive expressions for the probability of error for LSSTC which showed nearly perfect match to the simulation results. Results have also revealed the possibility of designing an adaptive system in which it was shown that combining beamforming, STBC, and VBLAST has better performance than VBLAST at high SNR range.